Intel Corporation

Beijing Friendship Hospital, Capital Medical University

Shanghai Lepu Cloudmed Co., Ltd

Tsinghua University

Chinese Academy of Sciences

Baidu Online Network Technology (beijing) Co., Ltd.

China University of Mining and Technology

China Enfi Engineering Corporation

Pengfei Zhao

Jing Zhu

Jing Li

Han Lv

Zhenchang Wang

Hongxia Yin

Dong Hui Liu

Wei Zheng

Jun Cao

Tingting Zhang

Yawen Liu

Pengling Ren

Linkun Cai

Kaifeng Zang

Dehong Luo

Erwei Zhao

Dong Liu

Zhiqiang Chen

Yu Wang

Jian Li

Nageen Himayat

Liang Li

Kejun Kang

Yuxiang Xing

Chang Liu

Li Zhang

Yan Jiang

Vered Bar Bracha

Yuemin Zhao

Yunkai Deng

Chenlong Duan

Zhenfu Luo

Shaolong Li

Haitao Lu

Baoquan Wang

Dacheng Liu

Zhengyu Zhang

Haiwei Li

Shulei Song

Zengqiang Chen

Xuliang Yang

Cunchen Gong

Mingxiao Qin

Jianguo Fu

Yeda Lu

Shuyan Yin

Erbin Wang

Youchao Lu

Bin Li

Li Zhnag

Youchao Lv

Provided are a CT scanning method and system, an electronic device, and a computer-readable storage medium. The method includes: determining a first coordinate of a mark point of a part to be imaged in a dual-camera coordinate system; converting the first coordinate into a second coordinate of the mark point in a CT coordinate system according to coordinate system transformation parameters; generating first locating information according to the second coordinate to drive a scanning table to move to a first location designated by the first locating information; obtaining projection images of the part to be scanned; determining second locating information and scanning information of the part to be scanned according to the projection images; and driving the scanning table to move to a second location designated by the second locating information according to the second locating information and performing CT scanning according to the scanning information.

CT scanning method and system, electronic device, and computer-readable storage medium

Systems, methods, and computer-readable storage media for measuring one-way delay in multi-access networks (MAMS) are provided. Other embodiments may be described and/or claimed.

One-way delay (OWD) measurements in next-generation multi-access networks

The present application discloses a cerebral perfusion state classification apparatus and method, a device, and a storage medium. The method includes: acquiring, by a transceiving module, cervical blood flow data from an ultrasound data collecting device; determining, by a processor, cerebral perfusion data corresponding to the cervical blood flow data based on the cervical blood flow data and a mapping relationship between the cervical blood flow data and the cerebral perfusion data, and classifying cerebral perfusion states of a plurality of brain regions based on blood perfusion characteristics of the plurality of brain regions in the cerebral perfusion data.

Cerebral perfusion state classification apparatus and method, device, and storage medium

Packet recovery mechanisms for wireless networks, which improve end-to-end (e2e) reliability, are provided. First embodiments include packet retransmission between a receiver and a transmitter, wherein, if the transmitter cannot find a lost packet in its transmission buffer, the transmitter sends a First Sequence Number (FSN) report to the receiver to notify the receiver of a sequence number (SN) of an oldest (acknowledged) packet in the buffer. In response, the receiver does not report lost packets whose SN is older than the FSN. Second embodiments involve using a network coding algorithm to recover lost packets, wherein the transmitter sends a control message to the receiver that includes a coded packet to be recovered and information for decoding the coded packet. Other embodiments may be described and/or claimed.

Multi-access management services packet recovery mechanisms

The present disclosure discloses a cerebral perfusion state classification apparatus, method and device, and a model training apparatus. In the apparatus, a transceiver module is used for receiving physiological feature data from different data collection devices; and a processor is used for extracting physiological features from the physiological feature data; inputting the physiological features into a random forest model to cause a plurality of decision-making trees in the random forest model to predict a cerebral perfusion state type corresponding to the physiological features; and classifying a cerebral perfusion state based on the cerebral perfusion state type corresponding to the physiological features.

Cerebral perfusion state classification apparatus, method and device, and model training apparatus

A method and device for suppressing range ambiguity and a computer readable storage medium are provided. The method includes: determining a pulse timing relationship of a transmission signal; determining orthogonal nonlinear frequency modulation signals; modulating the transmission signal by using the orthogonal nonlinear frequency modulation signals; transmitting the modulated transmission signal according to the pulse timing relationship, and determining echo data of the modulated transmission signal; and generating an image according to a polarization scattering matrix for the echo data of the modulated transmission signal.

Method and device for suppressing range ambiguity

A detection report data generation method including acquiring event type information of an electrocardiogram event corresponding to electrocardiogram event data, wherein the event data has one or more pieces of event type information; screening the event data according to signal quality evaluation indexes so as to obtain report conclusion data and report entry data; carrying out quality assessment on an event segment included in the event data according to the signal quality evaluation indexes, and determining a pre-selected sample segment according to a quality assessment result; determining position information of an event heart beat in the pre-selected sample segment, and determining segment interception parameters; carrying out interception processing on the pre-selected sample segment according to the segment interception parameters so as to obtain a typical data segment; generating report graphic data according to the typical data segment; and outputting the entry data, the graphic data and the conclusion data.

Detection report data generation method

An artificial intelligence self-learning-based static electrocardiography analysis method and apparatus, the method comprising data preprocessing, heartbeat detection, heartbeat classification based on a depth learning method, heartbeat verification, heartbeat waveform feature detection, measurement and analysis of electrocardiography events, and finally automatic output of reporting data, realizing an automated static electrocardiograph analysis method having a complete and rapid flow. The static electrocardiography analysis method can also record modification information of an automatic analysis result, collect modified data, and feed same back to the depth learning model to continue training, thereby continuously making improvements and improving the accuracy of the automatic analysis method.

Artificial intelligence self-learning-based static electrocardiography analysis method and apparatus

The present disclosure discloses a method and device for removing iron in an iron-containing solution in hydrometallurgy. This method comprises the steps of: adding an iron-containing solution in hydrometallurgy into a reactor through a first homogenizing distributor, controlling concentration of the ferric iron in the reactor below 1 g/L, controlling pH of the solution in the reactor to be 2.5&#x2dc;4, the temperature to be 65&#x2dc;100&#xb0; C., and the reaction duration to be 1&#x2dc;3 hours, performing solid-liquid separation for the solution after reaction, and removing the iron in the iron-containing solution in hydrometallurgy in the form of goethite.

Method and device for removing iron in iron-containing solution in hydrometallurgy

Embodiments of the present disclosure provide a volume adjusting method, system, apparatus and computer storage medium. In one aspect, in the embodiments of the present disclosure, the audio signal in the environment where the terminal lies is acquired, and then the volume of the information output by the terminal is adjusted according to the attributes of the audio signal. Hence, technical solutions provided by embodiments of the present disclosure can automatically adjust the volume of the information output by the terminal, lower volume adjustment operation costs and improve the volume adjusting efficiency.

Volume adjusting method, system, apparatus and computer storage medium

Drying and separation vibrating fluidized bed for processing wet coal by high-temperature hot air. Wet coal is fed into a vibrating separation chamber connected to a hot air supply duct. The wet coal is vibrated as it is dried and is layered as heat and mass transfer occur between the high-temperature air and the wet coal particles. Hot air enters the bottom of separation chamber through a distribution plate that includes asbestos fiber cloth sandwiched between clamping plates. The wet coal is fed through a feeding distribution device that separates the coal pieces as they enter the separation chamber. After the coal is dried and layered, the heavy and light material exits the separation chamber through two discharge impellers.

Drying and separation integrated machine for vibrating fluidized bed

Growing community of inventors

Beijing, China

Pengfei Zhao